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archipylago@mementomori.socialA

archipylago@mementomori.social

@archipylago@mementomori.social
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  • Our next meetup is May 21st at Readit.ai's office in Kaarina
    archipylago@mementomori.socialA archipylago@mementomori.social

    Our next meetup is May 21st at Readit.ai's office in Kaarina

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    archipylago #16 - May 2026 at Readit.ai

    Turku, Finland. May 21, 18:00-20:30. Let's get together before the summer arrives and enjoy great company, views and talks at Readit.ai's office in Piispantorni. **Registration opens 7.5. at 12.00** 18.00 Doors open 18.15 Roope Tikkanen: Your Data, Your Agents: Building an AI-Ready Lakehouse with DuckDB and Python 18.45 Break 19.15 Henrik Terävä: "From Code to Interaction: AI-Assisted Python Development in Embedded Environments" 19.45 Socialising 20.30 Post-meetup discussions at Cosmic Comic Cafe ## Venue If you're coming with a bus, take 6A to Hartwall (6003) stop and you're almost there. Alternatively, you can take 722 or 801 from Puutori, get out at Piispanristi and walk to Piispantorni. ![Map of the venue area](https://turkufrontend.fi/assets/img/readitai-map.png) If you arrive by bus, you can use the bus stops circled in blue and walk along the green route. If you arrive by car, you can find free parking in yellow spots. Take the elevator to 11th floor and follow signs. ## Talks **Henrik Terävä: From Code to Interaction: AI-Assisted Python Development in Embedded Environments** This talk explores how AI can assist Python development directly within embedded environments. Using PALL0 as a real-world case, we walk through designing and implementing a lightweight AI coding assistant integrated into a live system. The session highlights how AI can shift development from traditional coding toward more natural, interaction-driven workflows. **Roope Tikkanen: Your Data, Your Agents: Building an AI-Ready Lakehouse with DuckDB and Python** This talk presents a practical approach to building a lightweight lakehouse using DuckDB and Python demonstrated through a real-world project that ingests operational data from different SaaS tools into a unified analytical layer. We cover metadata-driven ETL pipelines, incremental ingestion patterns, and how a well-structured local lakehouse becomes the foundation for AI agents that can reason over your data with full context. All without the overhead of more traditional data warehousing infrastructure.

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